As its rivals get busy in developing self-driving cars, Microsoft is using Artificial Intelligence (AI) to empower autonomous gliders take decisions while they are aloft and has conducted a successful flight test in the US state of Nevada. According to a report in The New York Times late on Wednesday, Ashish Kapoor, an Indian-origin Principal Researcher at Microsoft, is leading a project in which his team tested two gliders designed to navigate the skies on their own. "Guided by computer algorithms that learned from onboard sensors, predicted air patterns and planned a route forward, these gliders could seek out thermals – columns of rising hot air – and use them to stay aloft," the report added. According to Mykel Kochenderfer, Stanford University professor of aeronautics and astronautics, Microsoft's project is a step towards self-driving vehicles "that are nimble enough to handle all the unexpected behavior that human drivers, bicyclists and pedestrians bring to public roads".
The Department of Computing Science at the University of Alberta invites applications for tenure-track or tenured faculty positions at all levels. The University of Alberta is home to over 31,000 undergraduate students, 7,600 graduate students, and 600 postdoctoral fellows. A successful candidate for the position may be considered as a nominee for, a funded/endowed research chair position, e.g., Canada Research Chair (CRC), in the Faculty of Science, if the appointment advances the strategic considerations of the Department of Computing Science, the Faculty of Science and the University of Alberta. For further information please email the Department Chair's Executive Assistant at email@example.com To assist the University in complying with mandatory reporting requirements of the Immigration and Refugee Protection Act (R203(3)(e), please include the first digit of your Canadian Social Insurance Number in your application (within your cover letter).
Calit2's Qualcomm Institute Has Established a Pattern Recognition Lab For Machine Learning on non-von Neumann Processors "On the drawing board are collections of 64, 256, 1024, and 4096 chips. Based on Community Input and on ESnet's Science DMZ Concept, NSF Has Funded Over 100 Campuses to Build Local Big Data Freeways Red 2012 CC-NIE Awardees Yellow 2013 CC-NIE Awardees Green 2014 CC*IIE Awardees Blue 2015 CC*DNI Awardees Purple Multiple Time Awardees Source: NSF 33. Next Step: The Pacific Research Platform Creates a Regional End-to-End Science-Driven "Big Data Superhighway" System NSF CC*DNI Grant $5M 10/2015-10/2020 PI: Larry Smarr, UC San Diego Calit2 Co-Pis: • Camille Crittenden, UC Berkeley CITRIS, • Tom DeFanti, UC San Diego Calit2, • Philip Papadopoulos, UCSD SDSC, • Frank Wuerthwein, UCSD Physics and SDSC Letters of Commitment from: • 50 Researchers from 15 Campuses • 32 IT/Network Organization Leaders 34. Adding a Cognitive Hardware and Software Ecosystem To the Pacific Research Platform • Working With 30 CSE Machine Learning Researchers – Goal is 320 Game GPUs in 32-40 FIONAs at 10 PRP Campuses – PRP Couples FIONAs with GPUs into a Condor-Managed Cloud • PRP Access to Emerging Processors – IBM TrueNorth, KnuEdge, FPGA, and Qualcomm Snapdragon • Software Including a Wide Range of Open ML Algorithms • Metrics for Performance of Processors and Algorithms Source: Tom DeFanti, Calit2 Multiple Proposals Under Review FIONA with 8-Game GPUs 38.
Chinese leading PC giant Lenovo Group Ltd will step up its efforts to develop artificial intelligence (AI) to boost its existing business as well as create new growth engine. The second is to create innovative AI equipment," said Rui Yong, chief technology officer of Lenovo. In the first quarter, Lenovo accounted for 20.4 percent of the world PC market while HP had 21.8 percent share in terms of PC shipments. To revive growth Lenovo last week announced cooperation with Tsinghua University, China's top university, and Ing Dan Group, China's e-commerce platform of electronic components, to encourage young staff and university students from the three places to start a business.
The system, which essentially learns the difference between real and fake products over time, uses a small microscope connected to a phone. "The underlying principle of our system stems from the idea that microscopic characteristics in a genuine product or a class of products-corresponding to the same larger product line-exhibit inherent similarities that can be used to distinguish these products from their corresponding counterfeit versions," said New York University Professor Lakshminarayanan Subramanian. The researchers have commercialized the product as Entrupy Inc., a startup founded by Ashlesh Sharma, an NYU doctoral graduate, Vidyuth Srinivasan and Professor Subramanian. Entrupy has raised $2.6 million in funding and has apparently authenticated $14 million in real and fake purses, watches and other fancy stuff.
In 1994, immediately after NAFTA was implemented, the U.S. Bureau of Labor Statistics ("BLS") arbitrarily stopped counting "long-term discouraged workers" in the official unemployment rate. For the victims of Broken Capitalism today--including nearly 25% of the unemployed and under-employed American labor force and over 90% of Americans who have no retirement savings and are drowning in debt just to survive--a Depression-level unemployment rate is not surprising. If you want to learn more about the socioeconomic and political consequences of Artificial Intelligence and what is destroying Capitalism worldwide today and how to fix it, please read Broken Capitalism: This Is How We Fix It. So, my definition of the "Civilian Labor Force" reasonably counts a significant portion of those 90 million erased humans, including significant subsets of the long-term discouraged/displaced population, college student population, over-age-65 population, non-severe disabled population, all of which are able to perform many jobs.
It's a concern about how we're training students to incorporate AI into their jobs or even become coders -- that we're training students today for jobs that might not exist. When I visited an assembly line for an off-roading company in Minnesota last year, there were discussions about how image recognition software could be used to spot defects in a newly assembled all-terrain vehicle. A camera will inspect the parts, machine learning will be used to determine if it passes inspection based on a set criteria, and the human workers will do … something else. Today, high school and college students could be trained in programing image recognition software and machine learning rather than the rigors of quality control inspection or even how to use a Windows tablet to check items off a list.
In a few years, robotic farming equipment will be able to plow and prepare soil while human farmers sleep. But unmanned farm machinery would require accurate positioning systems. The team is working on a robotic system that automatically observes the surrounding environment, recognizes obstacles and avoids them or halts operation if necessary. The key to the future of Japan's agriculture may be combining the knowledge of farmers like Someya and farming technology -- artificial intelligence that analyses and learns from a huge volume of data, and the introduction of robots.
A three-day hackathon on campus brought together students and researchers from MIT and around Boston who developed functional fabric concepts to solve major issues facing soldiers in combat or training, first responders, victims and workers in refugee camps, and many others. Remote Triage, formed by MIT students, designed an automated triage system for field medics, consisting of sensor-laden clothing that detects potential injury and a web platform that prioritizes care. The other team, Security Blanket, designed a double-sided, multipurpose blanket for people displaced from their homes, based on an idea from a Drexel University student. On Friday night, hackathon participants listened to talks from various experts -- including military officers, first responders, and government representatives -- who described major challenges they face in their fields.